https://www.fastly.com/products/ai
https://www.fastly.com/products/fastly-ai-bot-management
https://www.fastly.com/documentation/guides/compute/about-th...
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https://www.fastly.com/products/ai
https://www.fastly.com/products/fastly-ai-bot-management
https://www.fastly.com/documentation/guides/compute/about-th...
I teach at an internship program and the main problem with interns since 2023 has been their over reliance on AI tools. I feel like I have to teach them to stop using AI for everything and think through the problem so that they don't get stuck.
Meanwhile many of the seniors around me are stuck in their ways, refusing to adopt interactive debuggers to replace their printf() debug habits, let alone AI tooling...
I looked at our anthropic bill this week. Saw that one of our best engineers was spending $300/day on Claude. Leadership was psyched about it.
Claude is making $72k a year for a consistent $300/day spend.
One imagines Leadership won't be so pleased after the inevitably price hike (which, given the margins software uses, is going to be in the 1-3 thousands a day) and the hype wears off enough for them to realize they're spending a full salary automating a partial FTE.
This article goes completely against my experience so far. I teach at an internship program and the main problem with interns since 2023 has been their over reliance on AI tools. I feel like I have to teach them to stop using AI for everything and think through the problem so that they don't get stuck. Meanwhile many of the seniors around me are stuck in their ways, refusing to adopt interactive debuggers to replace…
When I was new to the business, I used interactive debugging a lot. The more experienced I got, the less I used it. printf() is surprisingly useful, especially if you upgrade it a little bit to a log-level aware framework. Then you can leave your debugging lines in the code and switch it on or off with loglevel = TRACE or INFO, something like that.
I wouldn't say I'm old, but I suddenly fell into the coding agent rabbit hole when I had to write some Python automations against Google APIs. Found myself having 3-4 different sites open for documentation, context switching between 3 different libraries. It was a lot to take in. So I said, why not give AI a whirl. It helped me a lot! And since then I have published at least 6 different projects with the help of AI.…
I love the split personality vibe here.
Earlier quoted context omitted.
> If I … generate fairly exhaustive unit tests of a trivial function … then you are not a senior software engineer
Neither are you if that's your understanding of a senior engineer
Java: https://docs.parasoft.com/display/JTEST20232/Creating+a+Para...
C# (nunit, but xunit has this too): https://docs.nunit.org/articles/nunit/technical-notes/usage/...
Python: https://docs.pytest.org/en/stable/example/parametrize.html
cpp: https://google.github.io/googletest/advanced.html
A belief that the ability of LLMs to generate parameterizations is intrinsically helpful to a degree which cannot be trivially achieved in most mainstream programming languages/test frameworks may be an indicator that an individual has not achieved a substantial depth of experience.
They surveyed 791 developers (:D) and "a third of senior developers" do that. That's... generiously, what... 20 people?
It's amazing how everyone can massage numbers when they're trying to sell something.